Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD42A77011182E3F231B4AD4B669F36561A9E34DD94FE408B6BC13B32BC6CD4D8776A8 |
|
CONTENT
ssdeep
|
384:YK+Ax5RLxUViUrYogLcYWogcNOrBVKMgfe2n:YpgfKVJFgpgBLid |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d95926261c9f589b |
|
VISUAL
aHash
|
00c0fcfcfe7f3f00 |
|
VISUAL
dHash
|
1300f0e0f0d47832 |
|
VISUAL
wHash
|
0080fcfcfe7f1f00 |
|
VISUAL
colorHash
|
03002000180 |
|
VISUAL
cropResistant
|
0230b0f8f8d0f879,1300f0e0f0d47832 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.